THE INFORMATION ENTROPY, ROUGH ENTROPY AND KNOWLEDGE GRANULATION IN ROUGH SET THEORY

2004339 citationsJournal Article

Authors

Zhongzhi Shi · Chinese Academy of Sciences

Abstract

Rough set theory is a relatively new mathematical tool for use in computer applications in circumstances which are characterized by vagueness and uncertainty. In this paper, we introduce the concepts of information entropy, rough entropy and knowledge granulation in rough set theory, and establish the relationships among those concepts. These results will be very helpful for understanding the essence of concept approximation and establishing granular computing in rough set theory.

Topics & Keywords

Rough Sets and Fuzzy Logic Extenics and Innovation Methods Advanced Computational Techniques and Applications

Publication Details

Published in: International Journal of Uncertainty Fuzziness and Knowledge-Based Systems

Volume 12, Issue 01, pp. 37-46

DOI: 10.1142/s0218488504002631

Field-Weighted Citation Impact: 7.05

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THE INFORMATION ENTROPY, ROUGH ENTROPY AND KNOWLEDGE GRANULATION IN ROUGH SET THEORY

Authors

Abstract

Topics & Keywords

Publication Details